Research on Strategies of Digital Media in Shaping and Communicating City Image--Text Mining and Sentiment Analysis Based on Image Communication

[1] Wentao, Cheng, Weisi, Lin, Xinfeng, & Zhang, et al. (2017). A data-driven point cloud simplification framework for city-scale image-based localization. IEEE Transactions on Image Processing. Search in Google Scholar

[2] Fabio, C., Vania, V., Maria, U. M., & Rossella, B. (2018). Exploring city image: residents’ versus tourists’ perceptions. TQM Journal, 30(5), 476-489. Search in Google Scholar

[3] Feng, Y., & Zhu, H. (2017). Study on the enlightenment of southern music festival on the city image construction of guangzhou: based on its inheritance of the intangible cultural heritage in lingnan area. Revista de la Facultad de Ingenieria, 32(16), 1078-1082. Search in Google Scholar

[4] Wu, S., Xiao, S., Di, Y., & Di, C. (2021). 3d film animation image acquisition and feature processing based on the latest virtual reconstruction technology. Complexity, 2021. Search in Google Scholar

[5] Zhang, L., Wang, L., Xu, C., Tian, C., & Zhu, W. (2018). An efficient and reliable message dissemination mechanism for vehicular networks on urban roads. Journal of Internet Technology, 19(4), 1143-1154. Search in Google Scholar

[6] Chaqfeh, M., El-Sayed, H., & Lakas, A. (2019). Efficient data dissemination for urban vehicular environments. IEEE Transactions on Intelligent Transportation Systems, 20(4), 1226-1236. Search in Google Scholar

[7] Ahmad, A., Din, S., Paul, A., Jeon, G., & Ahmad, M. (2019). Real-time route planning and data dissemination for urban scenarios using the internet of things. IEEE Wireless Communications, 26(6), 50-55. Search in Google Scholar

[8] Shen, Haiying, Chandler, Harrison, Wang, & Haoyu. (2018). Toward efficient short-video sharing in the youtube social network. Acm Transactions on Internet Technology. Search in Google Scholar

[9] Lu, Z., & Nam, I. (2021). Research on the influence of new media technology on internet short video content production under artificial intelligence background. Complexity, 2021. Search in Google Scholar

[10] Madarasinghe, S. K., Yapa, K., & Jayatissa, L. (2020). Google earth imagery coupled with on-screen digitization for urban land use mapping: case study of hambantota, sri lanka. Journal of the National Science Foundation of Sri Lanka. Search in Google Scholar

[11] Li, S. (2020). Leveraging recommendation systems for improving caching emerging short video in content delivery network. Transactions on Emerging Telecommunications Technologies, 31. Search in Google Scholar

[12] Shen, H., Chandler, H., & Wang, H. (2018). Toward efficient short-video sharing in the youtube social network. ACM Transactions on Internet Technology, 18(3), 1-25. Search in Google Scholar

[13] Mou, X., Xu, F., & Du, J. T. (2021). Examining the factors influencing college students’ continuance intention to use short-form video app. Aslib Journal of Information Management, ahead-of-print(ahead-of-print). Search in Google Scholar

[14] Wodarczyk, B., & Duda, M. A. (2019). The role of the novel in shaping a city’s image and its choice as a tourist destination: the case of ód. Moravian Geographical Reports, 27(1), 41-53. Search in Google Scholar

[15] Szarek-Iwaniuk, P., & Senetra, A. (2020). Access to ict in poland and the co-creation of urban space in the process of modern social participation in a smart city—a case study. Sustainability, 12. Search in Google Scholar

[16] Bonakdar, A., & Audirac, I. (2021). City planning, urban imaginary, and the branded space: untangling the role of city plans in shaping dallas’s urban imaginaries. Cities(Oct.), 117. Search in Google Scholar

[17] Oyama, Y. (2024). Spatial city image and its formative factors: a street-based neighborhood cognition analysis. Cities, 149. Search in Google Scholar

[18] Acuto, M., & Pejic, D. (2021). Shaping a global comparative imagination? assessing the role of city rankings in the "global city" discourse. Area, 53(2). Search in Google Scholar

[19] Kobashi, T., Jittrapirom, P., Yoshida, T., Hirano, Y., & Yamagata, Y. (2020). Solarev city concept: building the next urban power and mobility systems. Environmental Research Letters. Search in Google Scholar

[20] Xinxin Guan,Yeli Li,Qingtao Zeng & Chufeng Zhou.(2019).An Automatic Text Summary Extraction Method Based on Improved TextRank and TF-IDF.IOP Conference Series: Materials Science and Engineering(4), Search in Google Scholar

[21] Xianghua Fu,Wangwang Liu,Yingying Xu & Laizhong Cui.(2017).Combine HowNet lexicon to train phrase recursive autoencoder for sentence-level sentiment analysis.Neurocomputing18-27. Search in Google Scholar

[22] Liu Yixuan & Xiong Hailing.(2019).Review Sentiment Orientation Analysis based on Deep Learning. Journal of Physics: Conference Series012009-012009. Search in Google Scholar